The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-20"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "40783425 (up from 40395527 yesterday: 0.96 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1124745 (up from 1118159 yesterday: 0.59 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 7138981

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.76



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 8273296 60315 0.73 1083066 221052 933 0.42 2.67
India 7651107 54044 0.71 1425344 115914 717 0.62 1.51
Brazil 5273954 23227 0.44 496432 154837 661 0.43 2.94
Russia 1422775 16108 1.15 260347 24473 268 1.11 1.72
Argentina 1018999 16337 1.63 282390 27100 384 1.44 2.66
Spain 988322 13873 1.42 240056 34210 218 0.64 3.46
Colombia 974139 8256 0.85 150097 29272 170 0.58 3.00
France 973275 20675 2.17 383254 33928 281 0.84 3.49
Peru 870876 2201 0.25 62162 33820 61 0.18 3.88
Mexico 860714 5788 0.68 122551 86893 555 0.64 10.10
United Kingdom 765487 21365 2.87 316758 44057 241 0.55 5.76
South Africa 706304 1050 0.15 33732 18656 164 0.89 2.64
Iran 539670 5039 0.94 86033 31034 322 1.05 5.75
Chile 494478 1173 0.24 33178 13702 26 0.19 2.77
Iraq 434598 3920 0.91 76308 10366 49 0.47 2.39
Italy 434449 10871 2.57 121438 36705 89 0.24 8.45
Bangladesh 391586 1380 0.35 29543 5699 18 0.32 1.46
Germany 385591 8523 2.26 95120 9882 40 0.41 2.56
Indonesia 368842 3602 0.99 86118 12734 117 0.93 3.45
Philippines 360775 1606 0.45 51472 6690 15 0.22 1.85
Turkey 351413 1894 0.54 34141 9445 74 0.79 2.69
Saudi Arabia 342968 385 0.11 8781 5217 16 0.31 1.52
Pakistan 324744 710 0.22 12481 6692 19 0.28 2.06
Ukraine 317967 5680 1.82 107658 5948 114 1.95 1.87
Israel 306162 1286 0.42 69236 2278 15 0.66 0.74
Netherlands 250411 8194 3.38 127791 6874 46 0.67 2.75
Belgium 240159 9679 4.20 123044 10489 46 0.44 4.37
Canada 206349 2238 1.10 47358 9849 17 0.17 4.77
Czechia 193946 11984 6.59 126103 1619 106 7.01 0.83
Poland 192539 9291 5.07 102577 3721 107 2.96 1.93
Romania 186254 3400 1.86 60840 5996 65 1.10 3.22
Morocco 179003 3254 1.85 57820 3027 51 1.71 1.69
Ecuador 154115 692 0.45 18366 12404 9 0.07 8.05
Bolivia 140037 147 0.11 5396 8526 24 0.28 6.09
Nepal 139129 3093 2.27 62871 765 8 1.06 0.55
Qatar 129944 273 0.21 4411 224 0 0.00 0.17
Panama 125739 558 0.45 13886 2585 11 0.43 2.06
Dominican Republic 121973 306 0.25 10073 2204 1 0.05 1.81
Kuwait 117718 886 0.76 13150 714 4 0.56 0.61
United Arab Emirates 117594 1077 0.92 24504 470 4 0.86 0.40
Oman 111033 439 0.40 12448 1122 8 0.72 1.01
Kazakhstan 109766 143 0.13 1858 1796 28 1.58 1.64
Sweden 106380 3180 3.08 13914 5922 4 0.07 5.57
Egypt 105705 158 0.15 2626 6142 12 0.20 5.81
Portugal 103736 1876 1.84 29019 2213 15 0.68 2.13
Guatemala 102219 620 0.61 11251 3546 5 0.14 3.47
Costa Rica 97922 847 0.87 23318 1222 18 1.50 1.25
Japan 93895 487 0.52 10873 1679 3 0.18 1.79
China 91022 16 0.02 494 4739 0 0.00 5.21
Ethiopia 90490 630 0.70 15906 1371 6 0.44 1.52
Honduras 90232 851 0.95 14134 2582 6 0.23 2.86
Belarus 88909 619 0.70 10649 937 4 0.43 1.05
Venezuela 87644 1008 1.16 13281 747 11 1.49 0.85
Switzerland 86167 3008 3.62 33296 2145 7 0.33 2.49
Bahrain 78533 309 0.40 8111 305 3 0.99 0.39
Moldova 67958 656 0.97 15929 1617 17 1.06 2.38
Austria 67451 1524 2.31 23410 914 10 1.11 1.36
Armenia 66694 1234 1.89 16793 1101 10 0.92 1.65
Lebanon 64336 1392 2.21 25959 531 5 0.95 0.83
Uzbekistan 63831 308 0.48 7477 534 3 0.56 0.84
Nigeria 61630 72 0.12 2983 1125 0 0.00 1.83
Singapore 57921 6 0.01 179 28 0 0.00 0.05
Paraguay 56073 621 1.12 15972 1231 24 1.99 2.20
Algeria 54829 213 0.39 3461 1873 8 0.43 3.42
Kyrgyzstan 52910 384 0.73 6388 1113 2 0.18 2.10
Ireland 52256 1263 2.48 16516 1865 13 0.70 3.57
Libya 50906 957 1.92 16892 746 14 1.91 1.47
Hungary 48757 989 2.07 23190 1211 38 3.24 2.48
West Bank and Gaza 48129 513 1.08 8588 421 8 1.94 0.87
Ghana 47461 89 0.19 979 312 2 0.65 0.66
Azerbaijan 45879 584 1.29 5760 635 5 0.79 1.38
Kenya 45647 571 1.27 7269 842 3 0.36 1.84
Tunisia 44450 1723 4.03 27045 711 24 3.49 1.60
Jordan 40972 2035 5.23 30923 414 34 8.95 1.01
Afghanistan 40357 70 0.17 1103 1499 2 0.13 3.71
Burma 38502 1297 3.49 26077 945 31 3.39 2.45
Denmark 36877 532 1.46 8936 688 2 0.29 1.87
Serbia 36608 326 0.90 3129 780 2 0.26 2.13
Bosnia and Herzegovina 35389 728 2.10 8163 1017 20 2.01 2.87
El Salvador 31975 309 0.98 2994 929 3 0.32 2.91
Bulgaria 31863 1336 4.38 11316 1019 11 1.09 3.20
Slovakia 31400 705 2.30 21826 98 6 6.52 0.31
Australia 27443 38 0.14 365 905 0 0.00 3.30
Croatia 26863 890 3.43 10483 382 8 2.14 1.42
Greece 26469 667 2.59 8346 528 8 1.54 1.99
Korea, South 25424 91 0.36 1612 450 3 0.67 1.77
North Macedonia 24196 408 1.72 6410 850 4 0.47 3.51
Malaysia 22225 862 4.04 11090 193 3 1.58 0.87
Cameroon 21570 64 0.30 732 425 1 0.24 1.97
Cote d’Ivoire 20342 18 0.09 673 121 0 0.00 0.59
Georgia 19857 1194 6.40 13991 158 15 10.49 0.80
Albania 17651 301 1.73 4133 458 4 0.88 2.59
Kosovo 17139 130 0.76 1565 657 1 0.15 3.83
Madagascar 16810 0 0.00 433 238 0 0.00 1.42
Norway 16772 169 1.02 2857 278 0 0.00 1.66
Zambia 15982 85 0.53 1267 346 0 0.00 2.16
Montenegro 15892 132 0.84 5317 247 7 2.92 1.55
Senegal 15459 27 0.17 514 320 1 0.31 2.07
Slovenia 14473 794 5.80 8986 192 2 1.05 1.33
Finland 13849 294 2.17 3957 351 0 0.00 2.53
Sudan 13724 0 0.00 84 836 0 0.00 6.09
Namibia 12367 41 0.33 1227 132 1 0.76 1.07
Guinea 11538 20 0.17 904 70 0 0.00 0.61
Maldives 11271 39 0.35 1077 37 0 0.00 0.33
Luxembourg 11241 231 2.10 2810 136 1 0.74 1.21
Mozambique 11190 110 0.99 2634 78 3 4.00 0.70
Congo (Kinshasa) 11066 14 0.13 435 303 0 0.00 2.74
Uganda 10788 97 0.91 2771 97 0 0.00 0.90
Tajikistan 10574 41 0.39 848 80 0 0.00 0.76

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 883746 4101 0.47 68092 17055 73 0.43 1.93 22366.40 431.64 1 in 45
Texas 862277 5329 0.62 95013 17558 77 0.44 2.04 29737.91 605.53 1 in 34
Florida 760389 3662 0.48 55821 16105 84 0.52 2.12 35403.59 749.85 1 in 28
New York 486480 1201 0.25 28831 33366 0 0.00 6.86 25007.25 1715.16 1 in 40
Illinois 354457 3713 1.06 61009 9537 41 0.43 2.69 27972.06 752.61 1 in 36
Georgia 342438 1128 0.33 26132 7674 17 0.22 2.24 32252.46 722.77 1 in 31
North Carolina 248750 1578 0.64 39614 3992 53 1.35 1.60 23717.39 380.62 1 in 42
Tennessee 233569 1508 0.65 38958 2952 30 1.03 1.26 34181.63 432.01 1 in 29
Arizona 232937 1040 0.45 14753 5837 7 0.12 2.51 30589.66 766.52 1 in 33
New Jersey 222193 988 0.45 17630 16227 13 0.08 7.30 25015.56 1826.91 1 in 40
Pennsylvania 189970 1589 0.84 26790 8516 41 0.48 4.48 14839.10 665.21 1 in 67
Ohio 185639 2015 1.10 32732 5083 8 0.16 2.74 15881.38 434.85 1 in 63
Wisconsin 178482 4591 2.64 58527 1633 33 2.06 0.91 30654.19 280.47 1 in 33
Louisiana 176681 699 0.40 11057 5772 6 0.10 3.27 38005.77 1241.61 1 in 26
Alabama 174528 1043 0.60 20974 2805 16 0.57 1.61 35594.82 572.08 1 in 28
Virginia 167270 910 0.55 19925 3482 28 0.81 2.08 19596.93 407.94 1 in 51
Michigan 165994 1871 1.14 29174 7383 20 0.27 4.45 16621.25 739.27 1 in 60
South Carolina 165493 884 0.54 17859 3696 35 0.96 2.23 32142.59 717.85 1 in 31
Missouri 161849 1412 0.88 35318 2625 25 0.96 1.62 26370.82 427.70 1 in 38
Indiana 150664 1498 1.00 31598 4008 48 1.21 2.66 22379.55 595.35 1 in 45
Massachusetts 145464 976 0.68 13880 9758 5 0.05 6.71 20931.57 1404.13 1 in 48
Maryland 136744 590 0.43 12433 4050 9 0.22 2.96 22618.46 669.90 1 in 44
Minnesota 125531 1092 0.88 27084 2299 7 0.31 1.83 22258.72 407.65 1 in 45
Mississippi 111322 730 0.66 13684 3202 31 0.98 2.88 37404.71 1075.89 1 in 27
Oklahoma 109548 1475 1.36 23329 1191 18 1.53 1.09 27684.81 300.99 1 in 36
Iowa 109202 1142 1.06 20967 1576 28 1.81 1.44 34611.59 499.51 1 in 29
Arkansas 100441 844 0.85 17686 1728 14 0.82 1.72 33282.58 572.60 1 in 30
Washington 99150 489 0.50 12108 2282 24 1.06 2.30 13020.54 299.68 1 in 77
Utah 96643 1081 1.13 24507 551 5 0.92 0.57 30144.81 171.87 1 in 33
Nevada 91499 656 0.72 11904 1727 15 0.88 1.89 29705.96 560.69 1 in 34
Kentucky 89544 1297 1.47 21688 1342 16 1.21 1.50 20042.65 300.38 1 in 50
Colorado 87559 1208 1.40 17555 2182 2 0.09 2.49 15204.55 378.90 1 in 66
Kansas 72179 622 0.87 13829 895 25 2.87 1.24 24775.56 307.21 1 in 40
Connecticut 64455 434 0.68 7126 4559 5 0.11 7.07 18078.49 1278.72 1 in 55
Nebraska 59409 592 1.01 14365 565 11 1.99 0.95 30711.72 292.08 1 in 33
Puerto Rico 58643 693 1.20 10176 769 1 0.13 1.31 18362.12 240.79 1 in 54
Idaho 54663 873 1.62 13229 535 4 0.75 0.98 30502.80 298.54 1 in 33
Oregon 40136 342 0.86 6845 633 6 0.96 1.58 9516.00 150.08 1 in 105
New Mexico 37896 594 1.59 8739 942 7 0.75 2.49 18073.00 449.25 1 in 55
South Dakota 34457 621 1.84 12460 330 7 2.17 0.96 38949.47 373.03 1 in 26
North Dakota 33666 1029 3.15 12265 412 4 0.98 1.22 44177.51 540.64 1 in 23
Rhode Island 28649 302 1.07 4093 1164 5 0.43 4.06 27043.66 1098.78 1 in 37
Montana 24093 703 3.01 11369 252 11 4.56 1.05 22542.57 235.78 1 in 44
Delaware 23325 129 0.56 2794 668 2 0.30 2.86 23953.44 686.00 1 in 42
West Virginia 20520 227 1.12 4827 411 9 2.24 2.00 11481.99 229.98 1 in 87
District of Columbia 16445 50 0.30 1145 642 1 0.16 3.90 23301.49 909.67 1 in 43
Hawaii 14156 88 0.63 1866 189 2 1.07 1.34 9998.08 133.49 1 in 100
Alaska 11391 209 1.87 3669 67 0 0.00 0.59 15571.15 91.59 1 in 64
New Hampshire 9828 82 0.84 1595 468 0 0.00 4.76 7228.01 344.19 1 in 138
Wyoming 9526 215 2.31 3705 61 4 7.02 0.64 16459.36 105.40 1 in 61
Maine 5987 26 0.44 650 146 0 0.00 2.44 4453.91 108.61 1 in 225
Vermont 1956 10 0.51 207 58 0 0.00 2.97 3134.67 92.95 1 in 319

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 17189070 883746 5.14 2575525 68092 2.64 435031.7
2 Texas 7444326 862277 11.58 1243500 95013 7.64 256737.4
3 Florida 5767947 760389 13.18 477831 55821 11.68 268554.7
4 New York 13072715 486480 3.72 2423362 28831 1.19 671996.0
5 Illinois 6886901 354457 5.15 1318136 61009 4.63 543481.6
6 Georgia 3327836 342438 10.29 417003 26132 6.27 313431.6
7 North Carolina 3671793 248750 6.77 652207 39614 6.07 350091.9
8 Tennessee 3396736 233569 6.88 536255 38958 7.26 497094.9
9 Arizona 1647345 232937 14.14 193817 14753 7.61 216332.0
10 New Jersey 4235300 222193 5.25 668540 17630 2.64 476830.6
11 Pennsylvania 2340511 189970 8.12 315936 26790 8.48 182824.0
12 Ohio 3979414 185639 4.66 838037 32732 3.91 340438.0
13 Wisconsin 1900711 178482 9.39 360273 58527 16.25 326446.1
14 Louisiana 2616457 176681 6.75 308700 11057 3.58 562824.9
15 Alabama 1265575 174528 13.79 145863 20974 14.38 258112.8
16 Virginia 2411940 167270 6.94 372430 19925 5.35 282576.8
17 Michigan 4385791 165994 3.78 767707 29174 3.80 439156.3
18 South Carolina 1619922 165493 10.22 319508 17859 5.59 314626.5
19 Missouri 2296674 161849 7.05 993640 35318 3.55 374207.9
20 Indiana 2551406 150664 5.91 1180051 31598 2.68 378984.4
21 Massachusetts 5306041 145464 2.74 1317817 13880 1.05 763513.7
22 Maryland 3121799 136744 4.38 1511489 12433 0.82 516368.5
23 Minnesota 2522999 125531 4.98 505649 27084 5.36 447369.4
24 Mississippi 840866 111322 13.24 104385 13684 13.11 282534.9
25 Oklahoma 1467010 109548 7.47 274607 23329 8.50 370740.7
26 Iowa 837718 109202 13.04 79330 20967 26.43 265514.9
27 Arkansas 1231652 100441 8.15 223747 17686 7.90 408125.7
28 Washington 2244336 99150 4.42 395873 12108 3.06 294729.8
29 Utah 986424 96643 9.80 164560 24507 14.89 307684.6
30 Nevada 751603 91499 12.17 55883 11904 21.30 244014.6
31 Kentucky 1706897 89544 5.25 343968 21688 6.31 382055.0
32 Colorado 1708450 87559 5.13 381808 17555 4.60 296671.0
33 Kansas 598394 72179 12.06 84485 13829 16.37 205399.8
34 Connecticut 2054262 64455 3.14 472670 7126 1.51 576184.2
35 Nebraska 546669 59409 10.87 94112 14365 15.26 282602.7
37 Idaho 355382 54663 15.38 50491 13229 26.20 198308.7
38 Oregon 795317 40136 5.05 115934 6845 5.90 188564.9
39 New Mexico 1061268 37896 3.57 151763 8739 5.76 506130.0
40 South Dakota 234726 34457 14.68 45580 12460 27.34 265329.3
41 North Dakota 746364 33666 4.51 137979 12265 8.89 979400.6
42 Rhode Island 985320 28649 2.91 225092 4093 1.82 930107.9
43 Montana 445021 24093 5.41 105095 11369 10.82 416383.0
44 Delaware 330726 23325 7.05 45238 2794 6.18 339636.7
45 West Virginia 691809 20520 2.97 133496 4827 3.62 387102.5
46 District of Columbia 473807 16445 3.47 87411 1145 1.31 671353.4
47 Hawaii 479301 14156 2.95 182887 1866 1.02 338520.0
48 Alaska 546525 11391 2.08 95469 3669 3.84 747083.2
49 New Hampshire 543562 9828 1.81 104590 1595 1.53 399762.9
50 Wyoming 118280 9526 8.05 17737 3705 20.89 204368.3
51 Maine 554094 5987 1.08 126040 650 0.52 412207.3
52 Vermont 179713 1956 1.09 16966 207 1.22 288006.7

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1617658 8142 0.51 1415679 87.51 158852 42633 180 0.42 2.64
Andhra Pradesh 793299 3746 0.47 754415 95.10 32376 6508 27 0.42 0.82
Karnataka 782773 5872 0.76 671618 85.80 100440 10696 88 0.83 1.37
Tamil Nadu 697116 3086 0.44 650856 93.36 35480 10780 39 0.36 1.55
Uttar Pradesh 461475 2321 0.51 425356 92.17 29364 6755 41 0.61 1.46
Kerala 361842 8369 2.37 267082 73.81 93426 1233 26 2.15 0.34
Delhi 340436 3686 1.09 310191 91.12 24117 6128 47 0.77 1.80
West Bengal 333126 4069 1.24 291303 87.45 35579 6244 64 1.04 1.87
Odisha 274181 1931 0.71 254913 92.97 18034 1234 13 1.06 0.45
Telangana 226124 1579 0.70 204388 90.39 20449 1287 5 0.39 0.57
Bihar 208238 1277 0.62 196208 94.22 11010 1019 8 0.79 0.49
Assam 202774 701 0.35 176075 86.83 25807 889 5 0.57 0.44
Rajasthan 178933 1810 1.02 157960 88.28 19185 1788 14 0.79 1.00
Chhattisgarh 167639 2360 1.43 140216 83.64 25787 1636 52 3.28 0.98
Madhya Pradesh 163296 1118 0.69 148082 90.68 12386 2828 17 0.60 1.73
Gujarat 162985 1137 0.70 145207 89.09 14115 3663 9 0.25 2.25
Haryana 153367 1193 0.78 141506 92.27 10187 1674 14 0.84 1.09
Punjab 129088 498 0.39 120220 93.13 4808 4060 23 0.57 3.15
Jharkhand 98061 647 0.66 91004 92.80 6206 851 2 0.24 0.87
Jammu and Kashmir 89582 624 0.70 80092 89.41 8088 1402 5 0.36 1.57
Uttarakhand 59106 505 0.86 52632 89.05 5085 960 14 1.48 1.62
Goa 41339 308 0.75 37683 91.16 3099 557 2 0.36 1.35
Puducherry 33622 170 0.51 29016 86.30 4026 580 3 0.52 1.73
Tripura 29797 112 0.38 26990 90.58 2455 329 1 0.30 1.10
Himachal Pradesh 19357 0 0.00 16457 85.02 2596 269 0 0.00 1.39
Manipur 16276 214 1.33 12197 74.94 3955 124 3 2.48 0.76
Arunachal Pradesh 13912 134 0.97 11199 80.50 2682 31 0 0.00 0.22
Chandigarh 13797 54 0.39 12842 93.08 746 209 0 0.00 1.51
Meghalaya 8677 28 0.32 6779 78.13 1821 77 1 1.32 0.89
Nagaland 8139 119 1.48 6361 78.15 1685 21 0 0.00 0.26
Ladakh 5781 86 1.51 4865 84.15 849 67 0 0.00 1.16
Andaman and Nicobar Islands 4168 27 0.65 3913 93.88 199 56 0 0.00 1.34
Sikkim 3677 34 0.93 3280 89.20 253 63 0 0.00 1.71
Dadra and Nagar Haveli and Daman and Diu 3207 13 0.41 3136 97.79 44 2 0 0.00 0.06
Mizoram 2310 30 1.32 2174 94.11 136 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2538587 130479 2023 1.57 5.14 1268 123 26304 17103 13.11
Piemonte 881788 46319 1396 3.11 5.25 1037 62 11882 4209 9.09
Emilia-Romagna 1399873 41917 507 1.22 2.99 531 78 10168 4523 10.79
Veneto 2158487 36843 490 1.35 1.71 459 51 10256 2268 6.16
Campania 789087 28724 1312 4.79 3.64 946 91 19458 534 1.86
Lazio 1185024 27151 1224 4.72 2.29 1196 123 16333 1038 3.82
Toscana 939153 24600 812 3.41 2.62 475 72 11546 1208 4.91
Liguria 384376 19345 907 4.92 5.03 505 32 4484 1647 8.51
Sicilia 606852 13228 574 4.54 2.18 542 77 7497 378 2.86
Puglia 497031 12001 295 2.52 2.41 432 39 5730 642 5.35
Marche 286546 9645 89 0.93 3.37 99 19 2182 996 10.33
P.A. Trento 263606 7018 94 1.36 2.66 45 1 764 418 5.96
Friuli Venezia Giulia 482298 6636 131 2.01 1.38 65 14 1932 366 5.52
Abruzzo 250052 6534 184 2.90 2.61 210 15 2845 495 7.58
Sardegna 233027 6476 221 3.53 2.78 226 34 3686 177 2.73
P.A. Bolzano 206833 5113 209 4.26 2.47 96 7 1894 295 5.77
Umbria 258701 5103 194 3.95 1.97 150 20 2675 93 1.82
Calabria 242700 2963 94 3.28 1.22 73 6 1252 104 3.51
Valle d’Aosta 34435 2021 75 3.85 5.87 36 5 725 146 7.22
Basilicata 90136 1313 17 1.31 1.46 51 1 713 39 2.97
Molise 55589 1020 26 2.62 1.83 12 0 413 26 2.55

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 95216 787 0.83 6055 11 0.18 6.36 11152.45 709.21 1 in 90
Ontario 68556 807 1.19 3107 4 0.13 4.53 4659.92 211.19 1 in 215
Alberta 22996 323 1.42 293 1 0.34 1.27 5210.80 66.39 1 in 192
British Columbia 11854 167 1.43 254 1 0.40 2.14 2319.35 49.70 1 in 431
Manitoba 3491 109 3.22 42 0 0.00 1.20 2534.27 30.49 1 in 395
Saskatchewan 2439 43 1.79 25 0 0.00 1.03 2064.04 21.16 1 in 484
Nova Scotia 1097 0 0.00 65 0 0.00 5.93 1122.30 66.50 1 in 891
New Brunswick 313 0 0.00 3 0 0.00 0.96 401.29 3.85 1 in 2492
Newfoundland and Labrador 287 0 0.00 4 0 0.00 1.39 550.48 7.67 1 in 1817
Prince Edward Island 64 1 1.59 0 0 NaN 0.00 404.66 0.00 1 in 2471
Yukon 17 0 0.00 0 0 NaN 0.00 413.85 0.00 1 in 2416
Northwest Territories 6 1 20.00 0 0 NaN 0.00 133.62 0.00 1 in 7484

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5261 105 2.00
Guangdong 1892 8 0.42
Henan 1283 22 1.71
Zhejiang 1283 1 0.08
Shanghai 1097 7 0.64
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 938 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 845 7 0.83
Sichuan 731 3 0.41
Jiangsu 670 0 0.00
Chongqing 587 6 1.02
Shaanxi 438 3 0.68
Fujian 419 1 0.24
Hebei 368 6 1.63
Liaoning 280 2 0.71
Inner Mongolia 275 1 0.36
Guangxi 260 2 0.77
Tianjin 256 3 1.17
Yunnan 211 2 0.95
Shanxi 209 0 0.00
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 25285.13 675.59 1 in 40
India 5714.05 86.57 1 in 175
Brazil 25198.06 739.78 1 in 40
Russia 9846.19 169.36 1 in 102
Argentina 23017.82 612.15 1 in 43
Spain 21181.35 733.18 1 in 47
Colombia 19852.03 596.54 1 in 50
France 14528.66 506.46 1 in 69
Peru 27071.06 1051.29 1 in 37
Mexico 6661.87 672.55 1 in 150
United Kingdom 11521.48 663.11 1 in 87
South Africa 12452.47 328.91 1 in 80
Iran 6649.46 382.38 1 in 150
Chile 27394.90 759.11 1 in 37
Iraq 11356.10 270.86 1 in 88
Italy 7183.35 606.89 1 in 139
Bangladesh NA NA 1 in NA
Germany 4657.46 119.36 1 in 215
Indonesia 1397.13 48.23 1 in 716
Philippines 3439.23 63.78 1 in 291

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 290009 6912 2.38
Miami-Dade Florida 179286 3561 1.99
Cook Illinois 166457 5369 3.23
Harris Texas 155192 2735 1.76
Maricopa Arizona 150881 3519 2.33
Dallas Texas 90318 1201 1.33
Broward Florida 81537 1517 1.86
Clark Nevada 75888 1483 1.95
Queens New York 75344 7288 9.67
Kings New York 73433 7373 10.04
Riverside California 64668 1273 1.97
Bexar Texas 63594 1383 2.17
San Bernardino California 60621 1028 1.70
Tarrant Texas 60162 786 1.31
Orange California 57373 1412 2.46
Bronx New York 54523 4980 9.13
San Diego California 53000 857 1.62
Palm Beach Florida 49298 1510 3.06
Nassau New York 48731 2204 4.52
Suffolk New York 48121 2016 4.19
Hillsborough Florida 45798 754 1.65
Orange Florida 43943 532 1.21
Salt Lake Utah 41665 291 0.70
Philadelphia Pennsylvania 41094 1849 4.50
Westchester New York 39616 1460 3.69
Wayne Michigan 38664 3025 7.82
Milwaukee Wisconsin 36059 557 1.54
New York New York 35125 3192 9.09
Shelby Tennessee 34523 553 1.60
Hidalgo Texas 34343 1899 5.53
El Paso Texas 34035 576 1.69
Kern California 33497 410 1.22
Duval Florida 33132 512 1.55
Hennepin Minnesota 32544 966 2.97
Mecklenburg North Carolina 32038 376 1.17
Prince George’s Maryland 31617 846 2.68
Travis Texas 31159 448 1.44
Franklin Ohio 30978 635 2.05
Middlesex Massachusetts 30367 2226 7.33
Fresno California 30152 430 1.43
Fulton Georgia 29996 608 2.03
Davidson Tennessee 29914 326 1.09
Gwinnett Georgia 29866 436 1.46
St. Louis Missouri 28380 860 3.03
Pima Arizona 27019 634 2.35
Suffolk Massachusetts 26663 1161 4.35
Utah Utah 25772 74 0.29
King Washington 25329 800 3.16
Marion Indiana 24697 784 3.17
Sacramento California 24582 471 1.92
Montgomery Maryland 24560 861 3.51
Pinellas Florida 24327 803 3.30
Bergen New Jersey 23945 2053 8.57
Cameron Texas 23818 1068 4.48
Santa Clara California 23458 382 1.63
Oakland Michigan 23394 1228 5.25
Alameda California 22807 433 1.90
Fairfax Virginia 22769 602 2.64
Essex New Jersey 22735 2136 9.40
Jefferson Alabama 22563 372 1.65
Essex Massachusetts 22315 1330 5.96
Oklahoma Oklahoma 22213 218 0.98
Lee Florida 22117 497 2.25
Polk Florida 21981 592 2.69
Hudson New Jersey 21886 1525 6.97
Fairfield Connecticut 21754 1428 6.56
Cobb Georgia 21255 448 2.11
DuPage Illinois 21231 599 2.82
San Joaquin California 21196 484 2.28
Middlesex New Jersey 21152 1439 6.80
Nueces Texas 21027 438 2.08
Tulsa Oklahoma 20639 190 0.92
Douglas Nebraska 20455 214 1.05
Providence Rhode Island 20439 909 4.45
DeKalb Georgia 20394 390 1.91
Passaic New Jersey 20089 1258 6.26
Wake North Carolina 19952 266 1.33
Jefferson Kentucky 19842 333 1.68
Baltimore Maryland 19749 654 3.31
Lake Illinois 19714 506 2.57
Cuyahoga Ohio 19436 675 3.47
Union New Jersey 18949 1364 7.20
Jefferson Louisiana 18405 580 3.15
Contra Costa California 18214 236 1.30
Polk Iowa 18087 283 1.56
Stanislaus California 17354 393 2.26
Rockland New York 17269 680 3.94
Fort Bend Texas 17238 303 1.76
Macomb Michigan 17215 1066 6.19
Tulare California 17206 276 1.60
Will Illinois 17106 422 2.47
Collin Texas 17048 172 1.01
Baltimore City Maryland 16937 496 2.93
Richmond New York 16782 1091 6.50
Richland South Carolina 16729 263 1.57
Hartford Connecticut 16717 1453 8.69
Charleston South Carolina 16707 271 1.62
Greenville South Carolina 16560 334 2.02
District of Columbia District of Columbia 16445 642 3.90
Denver Colorado 16240 441 2.72

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc